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NONSTATIONARY MAXIMUM LIKELIHOOD METHOD TO ESTIMATE DISPERSION SPECTRA FOR FULL WAVEFORM SONIC LOGGING
NONSTATIONARY MAXIMUM LIKELIHOOD METHOD TO ESTIMATE DISPERSION SPECTRA FOR FULL WAVEFORM SONIC LOGGING
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机译:全波形声波测井的非平稳最大似然估计方法
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摘要
The present disclosure describes methods and systems for estimating dispersion spectra for full waveform sonic (FWS) logging. One computer-implemented method includes receiving FWS data, performing frequency-spatial (FX) transform on the FWS data, using a nonstationary predictive error filtering (PEF) inversion on the transformed FWS data to estimate local matrix L and matrix P, calculating an inverse covariance matrix based on the estimated local matrix L and matrix P, and obtaining a nonstationary maximum likelihood method (MLM) spectra based on the inverse covariance matrix.
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